招聘
Join a team that encompasses a variety of Data and Analytics disciplines, from data governance, data strategy and partnerships, reporting, data science, and machine learning.
As a Data Owner Lead, within the Consumer and Community Bank Credit Card team, you will be critical in enabling the business to innovate through the strategic use of its data, while simultaneously ensuring that data is of good quality and well-protected and be responsible for coordinating Card’s sourcing and use of data across different domains from digital, to rewards, operations, serves as a member of the Product leadership team.
Job Responsibilities:
- Define and execute a strategy for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.
- Strong understanding of the data and its use within the business and across lines of business and functions, through collaborative partnerships with multiple stakeholders, including Product Owners, analytics leads, and business process owners and identify and prioritize the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control and support the aligned Data and Analytics lead for their product to support projects such as analytics, machine learning and artificial intelligence.
- Direct the development of processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality and direct the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product
- Develop and maintain deep relationships with product, data delivery partners and data consumers, including senior leaders in the Business, Technology, Analytics, Operations, Risk and Control functions across lines of business.
- Demonstrate governance by ensuring that workstreams and initiatives are tracked and actively managed, KPI’s are agreed, measured and tracked, deliverables are properly prioritized and sequenced, risks are addressed and status measured, and deliveries are successful
- Manage and mentor a team of Data Owners
Required Qualifications, Capabilities, and Skills:
- Bachelor’s degree required; 10+ years of industry experience in a data-related field
- Data querying and manipulation ability, using technologies such as SQL, python, data science and engineering folks.
- Demonstrated ability to manage tight delivery timelines, across multiple workstreams, and ensure our organization is on track to execute and deliver strategic changes
- Proven ability to execute via successful internal partnerships with other organizations and the ability to influence people at all levels across a broad variety of job functions.
- Excellent leadership skills and experience managing teams and/or employees.
- Understanding of Agile technological development methodology.
Preferred Qualifications, Capabilities, and Skills:
- Master’s degree preferred.
- Technical knowledge of data engineering, data pipelines, data modelling, and data architecture preferred
- Deep subject matter expertise in Credit Card area preferred.
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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